Results 241 to 250 of about 49,392 (306)
A New Algorithm for Visual Navigation in Unmanned Aerial Vehicle Water Surface Inspection. [PDF]
Han J +6 more
europepmc +1 more source
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky +2 more
wiley +1 more source
Bridging Intuition and Data: A Unified Bayesian Framework for Optimizing Unmanned Aerial Vehicle Swarm Performance. [PDF]
Zhong R +6 more
europepmc +1 more source
First Analysis and Experiments in Aerial Manipulation Using fully Actuated Redundant Robot Arm.
Dominik Sommer +19 more
core +1 more source
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal +8 more
wiley +1 more source
MEP-YOLOv5s: Small-Target Detection Model for Unmanned Aerial Vehicle-Captured Images. [PDF]
Zhou S, Zhang S, Li C, Liu S, Chen D.
europepmc +1 more source
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan +5 more
wiley +1 more source
A reliable unmanned aerial vehicle multi-ship tracking method. [PDF]
Zhang G +7 more
europepmc +1 more source
Automatic measurement of rice tiller angle from unmanned aerial vehicle images
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham +10 more
wiley +1 more source
Retraction: Super-resolution reconstruction of real infrared images acquired with unmanned aerial vehicle. [PDF]
PLOS ONE Editors.
europepmc +1 more source

